
Dr. Peter A. Beling
Director, Intelligent Systems Division, Virginia Tech National Security Institute and Professor, Grado Department of Industrial and Systems Engineering
Virginia Polytechnic Institute and State University
Dr. Peter A. Beling serves as a SERC Research Council member, providing guidance in the Trusted Systems research area. Dr. Beling is the Director of the Intelligent Systems Division within the Virginia Tech National Security Institute as well as a Professor in the Hume Center for National Security and Technology within the Grado Department of Industrial and Systems Engineering at Virginia Tech. Dr. Beling received his Ph.D. in Operations Research from the University of California at Berkeley and has held positions at the Center for Naval Analyses and the IBM Almaden Research Center as well as most recently at the University of Virginia (UVA).
Dr. Beling’s research interests are in data analytics and decision-making in complex systems, with emphasis on adaptive decision support systems and reinforcement learning. His research has found application in a variety of domains, including smart manufacturing, resilient cyber physical systems, finance, and consumer credit. Previously at UVA, he directed the Adaptive Decision Systems Laboratory, which focuses on data analytics and decision support in cyber-physical systems. He is the co-founder of the Financial Decision Engineering research group at UVA, which is a focal point for research on systems engineering approaches to decisions and analyses in the financial and consumer credit domains. Dr. Beling has served as editor and reviewer for many academic journals. He has served as a member of two National Research Council panels.
Research Interests:
- Decision modeling in complex and cyber-physical systems
- Adaptive decision systems
- Reinforcement and inverse reinforcement learning
- Probabilistic machine learning
- Data-driven process improvement in smart manufacturing systems
- Decision modeling in consumer lending financial markets
- Decision models for cybersecurity assessment
- SERC-2012-TR-028-1-Security Engineering
- SERC-2012-TR-028-2-Security Engineering
- SERC-2013-TR-036-2-Security Engineering: System Aware Cyber Security for an Autonomous Surveillance System On Board an Unmanned Arial Vehicle
- SERC-2014-TR-036-3-Security Engineering Project: System Aware Cyber Security for an Autonomous Surveillance System On Board an Unmanned Arial Vehicle
- SERC-2013-TR-036-1-Security Engineering Pilot
- SERC-2015-TR-110-System Aware Cybersecurity A Multi-Sentinel Scheme To Protect a Weapons Research Lab
- SERC-2016-TR-156-Transition of System-Aware Technology into Practice (Task 1) and Mission-Level Cybersecurity and Solution & the Selection of Decision Support Tools (Task 2)
- SERC-2017-TR-114-Security Engineering – FY17 Systems Aware Cybersecurity
- SERC-2019-TR-002-Model-based Engineering for Functional Risk Assessment and Design of Cyber Resilient Systems
- SERC-2018-TR-110-Cyber Security Requirements Methodology
- SERC-2020-TR-016-Human-Machine Team (HMT) Concepts for Resilient Autonomous Systems: Experimental Design Approach to Human-in-the-loop Simulation
- SERC-2020-TR-008-WRT-1013: Security Engineering - 2019
- SERC-2021-TR-015-WRT-1022: Developmental Test and Evaluation (DTE&A) and Cyberattack Resilient Systems
- SERC-2021-TR-016-WRT-1033: Transitioning Mission Aware Concepts and Methods to Evaluate Cost/Risk Decisions for Security
- SERC-2022-TR-003-WRT-1043: DAU Digital Simulations (Base Year)
- SERC-2023-TR-007-WRT-1043: DAU Digital Engineering Simulation (Option Year 1)
- SERC-2024-TR-004-WRT-1043: DAU Digital Engineering Simulation Option Year 2
- SERC-2024-ITR-001_V2-Trusted Artificial Intelligence Systems Engineering Challenge